Yongbin Lee

Ph. D. Students

Biomedical Engineering

Yongbin Lee

I am a Ph.D. student in Biomedical Engineering at the University of Connecticut. My research focuses on biosignal processing for denoising, decomposition, and reconstruction, as well as real-time algorithms for wearable sensors, and AI in healthcare. My current projects include early atrial fibrillation prediction, electrodermal activity (EDA) decomposition, AI based denoising of electrocardiogram (ECG) and EDA signals affected by motion artifacts.

Education

• Ph.D. Biomedical Engineering, University of Connecticut (in progress)
• M.Eng. Biomedical Engineering, Kyung Hee University
• B.Eng. Biomedical Engineering, Kyung Hee University

Research Interests

• Biosignal processing (EDA, ECG, PPG, multimodal signals)
• Atrial fibrillation detection and prediction
• Deep learning for physiological time-series data
• Wearable and mobile health technologies

Publications

• Lee Y., Yon D.K., Nam Y., Lee J. Cooperative PPG/ECG Wearable System for Atrial Fibrillation Diagnosis. IEEE Sensors Journal, 2025.
• Lee Y., Shin H., Kim J.W., Lee J. A Convolutional Neural Network for Classification of Stimuli based on Stretchable Mechanical Sensor. IEEE Sensors Journal, 2023.

Profiles

• GitHub
• LinkedIn
• Google scholar